Wednesday August 21, 2019 1pm - 4:30pm (3 Hours 30 Minutes)
Lecture / Seminar Workshop / Class
aida@acadiau.ca
902-585-1777
PLEASE REGISTER HERE FOR THE EVENT: https://eventbrite.ca/myevent?eid=68477274371
Workshop Leads: Dr. Danny Silver & Dr. Andy McIntyre
Host: NSCC Centre of Geographic Sciences (COGS)
Abstract: This tutorial will provide a gentle hands-on introduction to developing predictive models using deep learning artificial neural networks. We will provide a high-level overview of the key elements of neural networks and deep learning, and recent advances that allow deep networks to solve challenging problems such as object recognition in images (e.g. classification of animal or letter) and sequence prediction (e.g. next word in a sentence, like Google auto-complete). Participants will get to build their own deep models using prepared software (Keras and Tensorflow) working in the browser.
Objectives: To provide a hands-on workshop that is fun and informative for participants. Covers 500-foot fundamentals of neural networks and deep learning (BP, CNN, LSTM) using popular python programming libraries.
Who is this for: Researchers, company employees, and business executives who are seeking an introduction to deep learning technology.
Prerequisites: All Python code will be provided, but some programming experience would be beneficial. Participants will need to bring a laptop with the latest version of the Chrome browser running on it, and a Google account for using Google Drive.
Registration: Please register to ensure adequate space for everyone. Participants must register by August 9th and complete a short study to become familiar with Google Colaboratory prior to the workshop. Details on this preparatory study will be sent to registrants.
aida@acadiau.ca
902-585-1777
PLEASE REGISTER HERE FOR THE EVENT: https://eventbrite.ca/myevent?eid=68477274371
Workshop Leads: Dr. Danny Silver & Dr. Andy McIntyre
Host: NSCC Centre of Geographic Sciences (COGS)
Abstract: This tutorial will provide a gentle hands-on introduction to developing predictive models using deep learning artificial neural networks. We will provide a high-level overview of the key elements of neural networks and deep learning, and recent advances that allow deep networks to solve challenging problems such as object recognition in images (e.g. classification of animal or letter) and sequence prediction (e.g. next word in a sentence, like Google auto-complete). Participants will get to build their own deep models using prepared software (Keras and Tensorflow) working in the browser.
Objectives: To provide a hands-on workshop that is fun and informative for participants. Covers 500-foot fundamentals of neural networks and deep learning (BP, CNN, LSTM) using popular python programming libraries.
Who is this for: Researchers, company employees, and business executives who are seeking an introduction to deep learning technology.
Prerequisites: All Python code will be provided, but some programming experience would be beneficial. Participants will need to bring a laptop with the latest version of the Chrome browser running on it, and a Google account for using Google Drive.
Registration: Please register to ensure adequate space for everyone. Participants must register by August 9th and complete a short study to become familiar with Google Colaboratory prior to the workshop. Details on this preparatory study will be sent to registrants.
Pricing & Tickets
Pricing: Free
